Of 60 answers

The most named companies in the study, and S&P 500 financials, with how many of their 60 AI answers named them.

SWIFT47/60TRANSUNION46/60EXPERIAN42/60COINSTAR41/60NAVY FEDERAL CREDIT UNION41/60ZELLE41/60BLOOMBERG L.P.38/60TRADINGVIEW38/60BANCO POPULAR DE PUERTO RICO37/60PAYPAL37/60VENMO37/60CHEXSYSTEMS33/60EQUIFAX33/60MORNINGSTAR32/60S&P GLOBAL31/60ALPACA MARKETS30/60COINBASE30/60PINWHEEL29/60STRIPE29/60XERO29/60ACORNS28/60AFFIRM28/60PAYFAST (PAYGATE)28/60PAYONEER28/60INTERACTIVE BROKERS26/60CHARLES SCHWAB19/60THE HARTFORD9/60MOODY'S21/60CME GROUP19/60ACCENTURE11/60CHUBB10/60MORGAN STANLEY6/60AMERICAN EXPRESS14/60SYNCHRONY FINANCIAL12/60FACTSET20/60NASDAQ19/60ALLSTATE11/60WELLS FARGO18/60PAYCHEX10/60ARES MANAGEMENT3/60
Rezolve Ai
MethodDemo
Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder

Yellow Card

yellowcard.io

Crypto exchanges and tradingCrypto and digital assets

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
604 of 2,219
its rank by overall score
Place in its category
10th of 22 crypto exchanges
Closing balance

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for Yellow Card

AI assistants rarely name this crypto exchange, mentioning it in 1 of 60 answers. Others named in the same answer include Circle, Fireblocks, and Ripple. It has an overall score of 36 out of 100, ranking 604th of 2,219 companies in the study. Its website passes 6 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Yellow Card by name. AI assistants named it in 1 of the 60 answers. Counting only how often it is named, it ranks 50th of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its peers.

Overall score
36Overall score
  • Visibility3
  • Citations0
  • Sentiment100
  • Site quality73
  • AI readiness43
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
5.3%
of the mentions of it and its 5 peers
AI readiness
6/14
technical checks passed. Typical for its sector: 4
Rank in its sector
32 of 102
by overall score, where the typical crypto and digital asset company scores 30

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Line itemsSection 01

Every question, and where the company came up

Yellow Card came up on 1 of 15 questions. Open any window to read that answer.

  1. 01How can businesses mitigate risk in global stablecoin payment processing?0/4
  2. 02What are the best stablecoin payment platforms for cross-border business transactions?0/4
  3. 03Common challenges when integrating stablecoin payments into existing payment systems0/4
  4. 04What pricing models exist for stablecoin payment infrastructure providers?0/4
  5. 05How can corporates use stablecoin infrastructure for managing multi-currency accounts?0/4
  6. 06What should businesses consider before switching to stablecoin-based payment solutions?0/4
  7. 07Is stablecoin payment infrastructure worth it for financial institutions expanding into emerging markets?0/4
  8. 08Best digital asset infrastructure solutions for multi-currency payments in the US0/4
  9. 09Ways banks can leverage stablecoins to improve remittance services0/4
  10. 10What are other technologies available for multi-currency payment processing besides stablecoins?0/4
  11. 11How does stablecoin payment infrastructure compare to traditional correspondent banking for global money movement?0/4
  12. 12Alternatives to stablecoin-based platforms for instant global settlements0/4
  13. 13Which payment infrastructures support real-time settlement in USD and local African currencies?1/4
  14. 14Stablecoin vs on-chain settlement for corporate treasury management: which is better?0/4
  15. 15Typical costs involved in implementing stablecoin payments for cross-border transactions0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 1/15Gemini: 0/15All assistants: 1/60
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. Across the study, on 50% of the questions where a company is named, only one AI assistant names it.

Transaction detailSection 02

What Perplexity actually said

An answer that names the company

Perplexitynamed the company

“Which payment infrastructures support real-time settlement in USD and local African currencies?”

… Yellow Card — Offers stablecoin liquidity, USD access, and API-based collections and disbursements through local African banking and mobile-money rails.

SIDERIS — Provides regulated settlement infrastructure for financial institutions, including USD and regional African-currency corridors.

PAPSS — Supports near-instant intra-African local-currency settlement, such as sending one African currency while the recipient receives another; it is not primarily a USD settlement network.

Best fit by use case:

Need · Likely fit

USD collection an …

The AI’s answer as we received it, shortened and not checked for accuracy.

PayeesSection 03

Where the mentions went

The companies these answers named, and how the mentions were split between this company and its peers.

Also named

CompanyTimes named
  1. 01
    Circle
    7
  2. 02
    Fireblocks
    6
  3. 03
    Ripple
    3

Share of mentions

CompanyShare
  1. Circle
    31.6%
  2. Ripple
    31.6%
  3. Fireblocks
    31.6%
  4. Yellow Card
    5.3%
  5. Stably
    0.0%
  6. Wyre
    0.0%
ReferrersSection 04

Websites the AI used as sources

How many times each website was listed as a source in these answers

  1. 01
    stripe.com
    18
  2. 02
    eco.com
    9
  3. 03
    spark.money
    8
  4. 04
    fireblocks.com
    7
  5. 05
    circle.com
    7
  6. 06
    visa.com
    7
  7. 07
    walletinvestor.com
    7
  8. 08
    opendue.com
    7
  9. 09
    federalreserve.gov
    6
  10. 10
    stablecoininsider.org
    6

Yellow Card is in the study as a crypto exchange.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Perplexity
1/15
Claude
0/15
Gemini
0/15
OpenAI
0/15
Market comparisonSection 06

How Yellow Card compares with all 2,219 companies

Every tower is a company in the study, taller for a higher overall score and lit where AI assistants named it. Its own group stays lit. Hover a tower to see it, and click to open it.

What makes up the score

Each part is scored out of 100.

Visibility
3

How often AI assistants name the company, and how that compares with its peers

Citations
0

How often AI uses the company's own website as a source

Sentiment
100

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
43

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Against its sectorSection 07

Compared with crypto and digital asset companies

102 companies in this sector. The gold tick on each bar is the typical company.

Overall score
36
Ranks 32 of 102. Typical company: 30
Named in answers
1.7%
Ranks 50 of 102. Typical company: 1.7%
AI readiness
43
Ranks 8 of 102. Typical company: 33
Against its categorySection 08

Compared with crypto exchanges

22 companies in this category. The gold tick on each bar is the typical company.

Overall score
36
Ranks 9 of 22. Typical company: 35
Named in answers
1.7%
Ranks 14 of 22. Typical company: 5.0%
AI readiness
43
Ranks 2 of 22. Typical company: 29
AI agentsSection 09

Ready for AI agents

What this website publishes for an AI agent to read, use and pay through, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals
Can an AI agent check out here?

Not by itself. Yellow Card publishes none of the agent payment protocols we look for. An agent would have to click through the website like a person.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPNot present
  • UCPNot present
Interfaces for AI agents
  • MCP Server CardNot present
  • A2A Agent CardNot present
  • Agent SkillsNot present
  • API CatalogNot present
  • llms.txtPublished
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
77 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 86.1%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    study: 87.9%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 1.5%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 4.3%
Content accessibility
100 of 100
  • Markdown negotiationPassed

    Requests sent with Accept: text/markdown receive a markdown version of the page.

    study: 6.2%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    study: 31.0%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 92.7%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 2.3%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.3%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 6.3%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 5.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.2%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.8%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.2%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 1.0%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 0.0%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.2%

Score 47 of 100 · 97% of checks could run · checked on October 9, 2026 · yellowcard.io · 2,200 companies scanned

See how every company did, and how this was measured.

AI readinessSection 10

The checks behind the AI readiness score

6 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.

These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.

Show the 14 checks

Discoverability

  • Passedrobots.txt publishedstudy: 85.1%
  • PassedXML sitemapstudy: 79.4%
  • PassedHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • PassedMarkdown content negotiationstudy: 7.4%
  • Passedllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • Not metExplicit AI bot rulesstudy: 11.5%

API / Auth / MCP

  • Not metAPI Catalog (.well-known/api-catalog)study: 1.1%
  • Not metOAuth Authorization Server discoverystudy: 5.2%
  • Not metOAuth Protected Resource discoverystudy: 4.6%
  • Not metMCP Server Cardstudy: 0.2%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 0.3%
  • Not metAgent Skills declaredstudy: 0.1%
AI crawlersSection 11

What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 86% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI

  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed

AI search

  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed

Answering questions

  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.

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End of statement
All 2,219 companiesHow we measured this
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